Python Developer

Responsibilities

• Design, develop, and maintain scalable backend systems and services using Python and FastAPI.
• Build secure, well-structured, and high-performance RESTful APIs for web applications and platform integrations.
• Design and optimize data models, queries, and access layers across relational and NoSQL databases.
• Contribute to application architecture, backend modernization, and service reliability improvements.
• Implement logging, monitoring, observability, and error-handling practices to improve operational resilience.
• Collaborate with front-end engineers and product teams to define service contracts and deliver end-to-end solutions.
• Write automated tests, participate in code reviews, and uphold engineering standards for quality, security, and maintainability.
• Support deployment pipelines, troubleshooting, and production issue resolution.
• Participate in agile ceremonies and contribute to continuous improvement across engineering practices.

Required Qualifications

• 4 to 7 years of professional software development experience with a strong focus on backend engineering.
• Very strong expertise in Python and backend application development.
• Strong hands-on experience building APIs and backend services using FastAPI.
• Strong experience with relational databases and NoSQL databases, including data modeling and query optimization.
• Experience designing, building, and consuming RESTful APIs and distributed services.
• Strong understanding of testing, debugging, performance tuning, and production support for backend systems.
• Experience with source control, CI/CD practices, and modern development workflows.
• Ability to work effectively in agile teams and collaborate across product, QA, and engineering functions.
• Strong communication, ownership, and problem-solving skills.

Preferred Qualifications

• Good-to-have knowledge of JavaScript, TypeScript, React, and modern front-end development concepts.
• Experience with cloud platforms, containerization, and CI/CD pipelines.
• Exposure to event-driven systems, asynchronous processing, or distributed architectures.
• Experience with observability, performance tuning, and operational monitoring tools.
• Exposure to enterprise business platforms and complex data workflows.